A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys
- DOI
- 10.1016/j.ijlmm.2024.04.004
- Published
- 2024-09
- Container
- International Journal of Lightweight Materials and Manufacture
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijlmm.2024.04.004,
title = {A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys},
author = {Mahmood Matin and Mohammad Azadi},
year = {2024},
journal = {International Journal of Lightweight Materials and Manufacture},
doi = {10.1016/j.ijlmm.2024.04.004},
url = {https://doi.org/10.1016/j.ijlmm.2024.04.004}
}RIS
TY - JOUR TI - A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys AU - Mahmood Matin AU - Mohammad Azadi PY - 2024 JO - International Journal of Lightweight Materials and Manufacture DO - 10.1016/j.ijlmm.2024.04.004 UR - https://doi.org/10.1016/j.ijlmm.2024.04.004 ER -
APA
Matin, M., & Azadi, M. (2024). A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys. International Journal of Lightweight Materials and Manufacture. https://doi.org/10.1016/j.ijlmm.2024.04.004
Source records
- crossref · retrieved 2026-09-26T03:27:41.936Z